Secure Smart Cameras by Aggregate-Signcryption with Decryption Fairness for Multi-Receiver IoT Applications.

Internet of Things data security elliptic-curve signcryption multi-receiver aggregate-signcryption resource efficiency smart cameras

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
15 Jan 2019
Historique:
received: 15 12 2018
revised: 08 01 2019
accepted: 10 01 2019
entrez: 18 1 2019
pubmed: 18 1 2019
medline: 18 1 2019
Statut: epublish

Résumé

Smart cameras are key sensors in Internet of Things (IoT) applications and often capture highly sensitive information. Therefore, security and privacy protection is a key concern. This paper introduces a lightweight security approach for smart camera IoT applications based on elliptic-curve (EC) signcryption that performs data signing and encryption in a single step. We deploy signcryption to efficiently protect sensitive data onboard the cameras and secure the data transfer from multiple cameras to multiple monitoring devices. Our multi-sender/multi-receiver approach provides integrity, authenticity, and confidentiality of data with decryption fairness for multiple receivers throughout the entire lifetime of the data. It further provides public verifiability and forward secrecy of data. Our certificateless multi-receiver aggregate-signcryption protection has been implemented for a smart camera IoT scenario, and the runtime and communication effort has been compared with single-sender/single-receiver and multi-sender/single-receiver setups.

Identifiants

pubmed: 30650609
pii: s19020327
doi: 10.3390/s19020327
pmc: PMC6359113
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Education, Audiovisual and Culture Executive Agency
ID : FPA no 2010-0015

Références

Sensors (Basel). 2014 Oct 16;14(10):19307-28
pubmed: 25325337
PLoS One. 2016 Nov 10;11(11):e0166173
pubmed: 27832105
PLoS One. 2017 Sep 8;12(9):e0184407
pubmed: 28886125
Sensors (Basel). 2017 Oct 10;17(10):
pubmed: 28994743

Auteurs

Subhan Ullah (S)

Institute of Networked and Embedded Systems, Alpen-Adria-Universität Klagenfurt, Universitätsstraße 65-67, 9020 Klagenfurt, Austria. subhan.ullah@aau.at.
Department of Electrical, Electronic, Telecommunications Engineering and Naval Architecture, University of Genova, Via all'Opera Pia 11, 16145 Genova, Italy. subhan.ullah@aau.at.

Lucio Marcenaro (L)

Department of Electrical, Electronic, Telecommunications Engineering and Naval Architecture, University of Genova, Via all'Opera Pia 11, 16145 Genova, Italy. lucio.marcenaro@unige.it.

Bernhard Rinner (B)

Institute of Networked and Embedded Systems, Alpen-Adria-Universität Klagenfurt, Universitätsstraße 65-67, 9020 Klagenfurt, Austria. bernhard.rinner@aau.at.

Classifications MeSH